Three-category coding scheme for assessing PLC WhatsApp discourse¶
Research Method · All research methods
Evidence · 3 claims (3 for) · 1 study (1 associational),q2· 0 of 1 report an effect size · 3 claims rest on one study
Description¶
The article synthesizes a coding scheme for assessing PLC discourse, built on teacher-knowledge frameworks (CK, PCK, TK) and PLC characteristics. It classifies each WhatsApp message into "three main categories": Community Development (building community, cooperation, sharing, positive feedback), Professional Knowledge Development (CK/PCK/TK and matching ASK- subcategories), and Administrative Issues, plus Media and Not Applicable tags. Messages are multi-labeled, discursive sequences are delimited into threads, and tags serve as indications of teachers' learning or PLC development.
Accounts¶
- A three-category coding scheme for assessing PLC WhatsApp discourse (Community Development, Knowledge Development, Administrative Issues): The article synthesizes a coding scheme for assessing PLC discourse, built on teacher-knowledge frameworks (CK, PCK, TK) and PLC characteristics. It classifies each WhatsApp message into "three main categories": Community Development (building community, cooperation, sharing, positive feedback), Professional Knowledge Development (CK/PCK/TK and matching ASK- subcategories), and Administrative Issues, plus Media and Not Applicable tags. Messages are multi-labeled, discursive sequences are delimited into threads, and tags serve as indications of teachers' learning or PLC development. (Zahava Scherz · Asaf Salman · Giora Alexandron · Yael Shwartz (2023))
Claims¶
- COVID-19 accelerated professional knowledge exchange (CK and PCK) in the L-PLC WhatsApp discourse, with tags significantly higher in pandemic cohorts [+M]
- Requests for and sharing of technological knowledge rose sharply during COVID-19 (TK from 9 to 206 tags; ASK-TK from 6 to 82 tags between cohorts I and III) [+M]
- Sharing of teaching materials became a norm in the L-PLC during COVID-19, rising significantly in pandemic cohorts and remaining steady thereafter [+M]
Related Research Methods¶
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Key Sources¶
- Zahava Scherz · Asaf Salman · Giora Alexandron · Yael Shwartz. (2023). WhatsApp Discourse Throughout COVID-19: Towards Computerized Evaluation of the Development of a STEM Teachers Professional Learning Community. International Journal of Artificial Intelligence in Education. https://doi.org/10.1007/s40593-022-00320-3
Page metadata
| Field | Value |
|---|---|
type |
research-method |
id |
three-category-coding-scheme-for-assessing-plc-whatsapp-discourse |
title |
Three-category coding scheme for assessing PLC WhatsApp discourse |
description |
The article synthesizes a coding scheme for assessing PLC discourse, built on teacher-knowledge frameworks (CK, PCK, TK) and PLC characteristics. |
status |
review |
generated |
by process:settle-candidates on 2026-10-27 |
trust |
unverified — no one has confirmed this page's content |
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